Prosper Chanda was doing algebra at three years old, but his real breakthrough came when he realized that sub-Saharan Africa's farmers and communities were flying blind during storms. Now 18 and from Kasama in Zambia's Northern Province, Chanda has developed PUPE—Prosper's Unified Position Equation—a weather prediction model tailored to the places where existing forecasts simply don't work.
The problem he spotted is surprisingly straightforward: most global weather models are built on data from Europe and the United States, where monitoring infrastructure is dense and reliable. But across sub-Saharan Africa, where data coverage is sparse and erratic weather patterns linked to climate change are devastating, those models stumble. Zambian farmers depend almost entirely on rain-fed agriculture, making accurate forecasts a matter of food security and survival. "Communities are not well-informed about weather events and climate systems," Chanda explained. "Those things tend to affect the people and the communities due to misinformation, and they are not informed fast."
Rather than reinvent weather science from scratch, Chanda applied theoretical physics—the same frameworks he's been wrestling with since adolescence—to make existing prediction systems work better locally. His approach takes standard inputs like wind speed from satellite observations and ground measurements, then feeds them through his equation to produce a single, deterministic forecast for how weather systems will evolve. Unlike traditional models, which offer a range of probabilistic outcomes, PUPE generates a specific path for atmospheric movement, including wind patterns and storm trajectories.
The practical payoff is tangible: the model aims to accurately predict the timing, location, spatial extent, and intensity of extreme events like floods and storms. That precision could give communities and governments crucial hours or days to prepare and respond more effectively—the difference between a managed evacuation and a crisis.
Chanda's work has caught the attention of the Earth Foundation, a Switzerland-based organization that awards the Earth Prize annually to young innovators aged 13 to 19 tackling environmental challenges. This year, his PUPE project is one of five shortlisted from across Africa. Charlotte Tucker, who handles communications for the Earth Foundation, described Chanda's approach as a "highly innovative physics-based framework to improve the accuracy of predicting extreme weather events"—all the more remarkable because Chanda is entirely self-taught and working without the infrastructure or institutional support typically expected for this caliber of research.
Chanda himself remains refreshingly humble about PUPE's limitations. He acknowledges that the model can only be as accurate as the data fed into it. "If there were errors or some uncertainty in the existing initial conditions and measurements that we had to input into the equation, definitely we would get some errors," he noted. He has no illusions about replacing established systems; he simply wants to complement them.
His scientific paper laying out the physics behind PUPE is currently under peer review, awaiting publication. For a teenager in Kasama working against the constraints of limited infrastructure, that represents something more than an academic milestone—it's a tangible signal that solutions to Africa's climate challenges don't have to come from elsewhere. They can come from within, shaped by people who understand the problems in their bones.